Saturation-Aware Constant Power Reaching Law for Regularized Fast Terminal Sliding-Mode Fault-Tolerant Control of Quadrotor UAVs
Year: 2026
Type: article
Abstract: Rotor-efficiency loss and thrust saturation reduce the attitude moments a quadrotor can deliver, so fixed reaching gains may request unavailable torque. This study builds on fast terminal sliding-mode control and radial basis function neural-network compensation with a saturation-aware constant power reaching law. A consistently regularized sliding surface and neural adaptation are combined with fault-aware allocation and reaching gains scheduled by pre-clipping rotor-thrust margins. A weighted-energy analysis retains rotor clipping and establishes regional exponential stability for hover after the effectiveness estimate is updated to its true value, under the theorem’s assumptions. In attitude-control simulations of a damaged maneuver, the schedule matches the fixed-high peak error under exact-state feedback. With continuous correlated gyro errors, its mean paired integral attitude error is 18.42% below the high-gain result and 2.50% above the low-gain result. It also reduces actual angular-rate RMS during the final hold relative to high gains. These simulation results demonstrate a balance between fault response and noise sensitivity under the tested attitude-control conditions without retuning the gains.
Source: Drones
Authors: Xi Tong, Jie Yan, Chenkai Zhang, Jin Qi
Institutions: Northwestern Polytechnical University, Xidian University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7225828687
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